The Next Step After Karpathy's Wiki Idea
100% open-source and runs locally!
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The Anatomy of an Agent Harness
A deep dive into what Anthropic, OpenAI, Perplexity and LangChain are actually building.
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MLOps and LLMOps Case Studies
How Booking.com, Uber, Stripe, and more actually think about ML and AI systems in production.
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A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
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What are Agent Skills and How Agents Use Them?
A 7-step process, explained visually!
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How to Vibe Code: A Developer's Playbook
The principles and workflows that separate developers who use AI from developers who ship with it.
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MiniMax M2.7: The self-refactoring Agent architecture
AI that improves without retraining!
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Concepts of LLM Serving in LLMOps
...covered with API-based access, inference with vLLM, and practical decisions.
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The Three Layers of Context That Make Coding Agents Actually Useful
...explained with code!
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A Disaster-free Way to Run OpenClaw on Your Real Data/Apps!
...explained with code (100% local).
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How to Build an OS for Your AI Workforce?
An OS layer to manage a fleet of AI agents!
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Anatomy of the .claude/ Folder
A complete guide to CLAUDE.md, custom commands, skills, agents, and permissions, and how to set them up properly.
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